Triple

T12631821
Position Surface form Disambiguated ID Type / Status
Subject Coogan's Bluff E301661 entity
Predicate director P255 FINISHED
Object Don Siegel E102695 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Don Siegel | Statement: [Coogan's Bluff, director, Don Siegel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Siegel
Context triple: [Coogan's Bluff, director, Don Siegel]
  • A. Don Siegel chosen
    Don Siegel was an American film director best known for his taut, hard-edged action and crime dramas, including classics like "Dirty Harry" and "Invasion of the Body Snatchers."
  • B. Anthony Mann
    Anthony Mann was an American film director best known for his psychologically complex film noirs and influential 1950s Westerns.
  • C. George Aldrich
    George Aldrich is a NASA contamination control specialist known for his long career testing materials for off-gassing to ensure astronaut safety on space missions.
  • D. John Sturges
    John Sturges was an American film director best known for his classic action and Western films, including "The Great Escape" and "Bad Day at Black Rock."
  • E. Lloyd Taylor
    Lloyd Taylor was an architect known for designing Parliament House in Adelaide, South Australia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9610e4f408190946f37325d69375c completed April 10, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684daedc88190adc403f27a850b7a completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:15 p.m.